Big data from the Internet of Things may create big challenge for data classification. Most active learning approaches select either uncertain or representative unlabeled instances to query their labels. Although several active learning algorithms have been proposed to combine the two criteria for query selection, they are usually ad hoc in finding unlabeled instances that are both informative ...

cryptosporidium is an obligate intracellular protozoan parasite infecting a wide range of hosts. the current study investigated the genetic profile of cryptosporidium species in calves in liverpool, england. fifty-two calve fecal samples were collected from a farm and initially screened by auramine phenol, modified ziehl-neelsen and elisa. pcr analysis of 18s rrna gene was carried out for the p...

Big data sets must be carefully partitioned into statistically similar data subsets that can be used as representative samples for big data analysis tasks. In this paper, we propose the random sample partition (RSP) to represent a big data set as a set of non-overlapping data subsets, i.e. RSP data blocks, where each RSP data block has the same probability distribution with the whole big data s...

Research examining how cultural factors affect adjustment of ethnic minority individuals would be strengthened if study samples better represented the diversity within these populations. To recruit a representative sample of Mexican American families, the authors implemented a multiple-step process that included sampling communities to represent diversity in cultural and economic conditions, re...

We have experimentally investigated the meaning of the effective optical absorption [mu(a)((eff))] and the reduced scattering [mu(s)?((eff))] coefficients measured on the surfaces of two-layered turbid media, using the diffusion equation for homogeneous, semi-infinite media. We performed frequency-domain spectroscopy in a reflectance geometry, using source-detector distances in the range 1.5-4....

Rapid urbanization in Brazil has meant that many persons from rural areas where Schistosoma mansoni is endemic have migrated to cities. Discovery of a focus of active transmission in the city of Salvador prompted a citywide survey for active and potential transmission sites. Cercariae shed from infected snails collected from four locations were used to determine how these samples were related a...

Some types of sensors provide multiple detections per target, such as ASDE radar, infra-red or video cameras, bringing new challenges to the tracking systems based on their data. In these cases, data association needs to be extended to address blobs re-connection and target segmentation issues, losing the assumptions handled by classical approaches. In this work, the design is partially conside...

Large survey data are often accompanied by sampling weights that reflect the inequality probabilities for selecting samples in complex sampling. Sampling weights act as an expansion factor that, by scaling the subjects, turns the sample into a representative of the community. The quasi-maximum likelihood method is one of the approaches for considering sampling weights in the frequentist framewo...

The genetic status of wolves in the western Great Lakes region has received increased attention following the decision to remove them from protection under the US Endangered Species Act. A recent study of mitochondrial DNA has suggested that the recovered wolf population is not genetically representative of the historic population. We present microsatellite genotype data on three historic sampl...

This paper presents a novel active learning method developed in the framework of ε-insensitive support vector regression (SVR) for the solution of regression problems with small size initial training data. The proposed active learning method selects iteratively the most informative as well as representative unlabeled samples to be included in the training set by jointly evaluating three criteri...